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README.md
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@@ -41,14 +41,16 @@ Accurate garment fitting in virtual try-on systems remains difficult under compl
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|----------|--------|
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| Focus | Upper-body virtual try-on (women), multi-pose |
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| Typical resolution | 1024 × 768 |
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| Splits on Hub | Two
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| Annotations | Parsing-style labels, edges, DensePose-related assets (see folder layout) |
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VITON-Extends extends the original VITON setting with **more diverse standing postures and arm configurations** (e.g. arms crossed, sideways stance), which stress-tests warping and synthesis under occlusion and misalignment.
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## Folder layout (this upload)
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The Hugging Face repository root
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### Under `train/`
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```python
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from huggingface_hub import snapshot_download
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#
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path = snapshot_download(
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repo_id="NguyenDinhHieu/VITON-Extends-DB",
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repo_type="dataset",
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local_dir="./VITON-Extends_data",
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)
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# Training: set dataroot to the train folder, e.g. ./VITON-Extends_data/train
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# Testing: set dataroot to the test folder, e.g. ./VITON-Extends_data/test
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# Only training
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# snapshot_download(..., allow_patterns=["
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# Only test
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# snapshot_download(..., allow_patterns=["
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```
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Use the **`train`** directory as `dataroot` when running training scripts, and the **`test`** directory as `dataroot` when running inference, per [training / testing instructions](https://github.com/nguyendinhhieu1309/VITON-Extends).
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### Dataset card (Tiếng Việt — tóm tắt)
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|----------|--------|
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| Focus | Upper-body virtual try-on (women), multi-pose |
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| Typical resolution | 1024 × 768 |
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| Splits on Hub | Two archives at repo root: **`Train.zip`** and **`Test.zip`**. **Extract both** after download to obtain the **`train/`** and **`test/`** folder layout below |
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| Annotations | Parsing-style labels, edges, DensePose-related assets (see folder layout) |
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VITON-Extends extends the original VITON setting with **more diverse standing postures and arm configurations** (e.g. arms crossed, sideways stance), which stress-tests warping and synthesis under occlusion and misalignment.
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## Folder layout (this upload)
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The Hugging Face dataset repository root ships **`Train.zip`** and **`Test.zip`** (not the raw folders). **You must unzip both** into the same parent directory (e.g. your `local_dir` after `snapshot_download`) so you end up with **`train/`** and **`test/`** as described below. If an archive already contains a single top-level `train` or `test` folder, extract as usual; if your tool nests an extra directory, move the inner `train` / `test` so `dataroot` points at the folder that **directly** contains `train_img/`, `test_img/`, etc.
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Inside each folder, subfolder names match what the [VITON-Extends](https://github.com/nguyendinhhieu1309/VITON-Extends) code expects **relative to `--dataroot`**: training reads `train_img`, `train_label`, … from the directory you pass as `dataroot`, so **after extracting**, point **`dataroot` to the `train` folder** (the path that directly contains `train_img/`, …). For testing / inference, point **`dataroot` to the `test` folder** (the path that directly contains `test_img/`, `test_clothes/`, `test_edge/`).
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### Under `train/`
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```python
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from huggingface_hub import snapshot_download
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# Downloads repo root (including Train.zip and Test.zip) into ./VITON-Extends_data
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path = snapshot_download(
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repo_id="NguyenDinhHieu/VITON-Extends-DB",
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repo_type="dataset",
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local_dir="./VITON-Extends_data",
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)
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# Then unzip Train.zip and Test.zip in that folder (Explorer, unzip, 7-Zip, etc.)
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# so you get ./VITON-Extends_data/train/... and ./VITON-Extends_data/test/...
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# Training: set dataroot to the train folder, e.g. ./VITON-Extends_data/train
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# Testing: set dataroot to the test folder, e.g. ./VITON-Extends_data/test
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# Only the training archive (smaller download):
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# snapshot_download(..., allow_patterns=["Train.zip"])
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# Only the test archive:
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# snapshot_download(..., allow_patterns=["Test.zip"])
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```
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Use the **`train`** directory as `dataroot` when running training scripts, and the **`test`** directory as `dataroot` when running inference, per [training / testing instructions](https://github.com/nguyendinhhieu1309/VITON-Extends).
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### Dataset card (Tiếng Việt — tóm tắt)
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Trên Hub, dữ liệu chính nằm ở hai file nén gốc **`Train.zip`** và **`Test.zip`**. Sau khi tải về, **bắt buộc giải nén** cả hai để có thư mục **`train/`** và **`test/`**. Trong `train/` gồm các thư mục con `train_img`, `train_color`, `train_edge`, `train_label`, `train_densepose`; trong `test/` gồm `test_img`, `test_clothes`, `test_edge`. Khi chạy code, đặt `dataroot` trỏ vào thư mục **`train`** (huấn luyện) hoặc **`test`** (suy luận). Mô hình: [NguyenDinhHieu/VITON-Extends](https://huggingface.co/NguyenDinhHieu/VITON-Extends). Vui lòng trích dẫn bài báo qua DOI ở trên.
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